Evidence map›Paper›PMID 35054873›Full record

ArticleInternational journal of molecular sciences2022

Identification of a Novel Oncogenic Fusion Gene

Saya Nagasawa, Kazuhiro Ikeda, Daisuke Shintani, Chiujung Yang, Satoru Takeda, Kosei Hasegawa, Kuniko Horie, Satoshi Inoue

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Machine Learning-Guided Multi-Cohort Transcriptomic Profiling IdentifiesInternational journal of molecular sciences · 2026
    Article
  3. Article
  4. Article
  5. Oncogenic gene fusions in cancer: from biology to therapy.Signal transduction and targeted therapy · 2025
    Review
  6. Review
  7. OncogenicMedComm · 2024
    Article
  8. Article
  9. Pattern recognition in the landscape of seemingly random chimeric transcripts.Computational and structural biotechnology journal · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Saya NagasawaDivision of Systems Medicine & Gene Therapy, Saitama Medical University, Hidaka 350-1241, Saitama, Japan.
Kazuhiro IkedaDivision of Systems Medicine & Gene Therapy, Saitama Medical University, Hidaka 350-1241, Saitama, Japan.
Daisuke ShintaniDepartment of Gynecologic Oncology, Saitama Medical University International Medical Center, Hidaka 350-1298, Saitama, Japan.
Chiujung YangDivision of Systems Medicine & Gene Therapy, Saitama Medical University, Hidaka 350-1241, Saitama, Japan.
Satoru TakedaDepartment of Obstetrics and Gynecology, Juntendo University School of Medicine, Bunkyo-ku, Tokyo 113-8421, Japan.
Kosei HasegawaDepartment of Gynecologic Oncology, Saitama Medical University International Medical Center, Hidaka 350-1298, Saitama, Japan.ORCID 0000-0002-1903-7001
Kuniko HorieDivision of Systems Medicine & Gene Therapy, Saitama Medical University, Hidaka 350-1241, Saitama, Japan.
Satoshi InoueDivision of Systems Medicine & Gene Therapy, Saitama Medical University, Hidaka 350-1241, Saitama, Japan.ORCID 0000-0003-1247-3844

Funding

Japan Society for the Promotion of Science 20H03734Japan Society for the Promotion of Science 20K08916Japan Society for the Promotion of Science 20K21636Japan Society for the Promotion of Science 20K21667Japan Society for the Promotion of Science 21H02981Japan Society for the Promotion of Science 21H04829Naito Foundation GrantTakeda Science Foundation GrantVehicle Racing Commemorative Foundation Grant
6 · The paper itself

Abstract

Gene structure alterations, such as chromosomal rearrangements that develop fusion genes, often contribute to tumorigenesis. It has been shown that the fusion genes identified in public RNA-sequencing datasets are mainly derived from intrachromosomal rearrangements. In this study, we explored fusion transcripts in clinical ovarian cancer specimens based on our RNA-sequencing data. We successfully identified an in-frame fusion transcript

Indexed as

Oncogene Proteins, FusionAnimalsApoptosisBase SequenceCell Line, TumorCell ProliferationDrug Resistance, NeoplasmFemaleGene Expression Regulation, NeoplasticHumansMiceMice, Inbred BALB CMice, NudeOvarian NeoplasmsRNA, MessengerOncogene Proteins, FusionRNA, Messengerfusion transcriptovarian cancerRNA-sequencingsmall interfering RNA (siRNA)xenograft

Identifiers

PMID35054873
PMCPMC8776205

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.